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Characterizing land condition variability in Northern China from 1982 to 2011 期刊论文
ENVIRONMENTAL EARTH SCIENCES, 2014, 卷号: 72, 期号: 3, 页码: 663-676
作者:  An, Youzhi;  Gao, Wei;  Gao, Zhiqiang;  Gao, ZQ (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China. anyouzhi@163.com;  gaoland@gmail.com
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Ndvi  Land Degradation  Linear Trend Analysis  Climate Change  
黄河三角洲滨海湿地的演变过程与驱动机制 学位论文
, 北京: 中国科学院研究生院, 2014
栗云召
Adobe PDF(19565Kb)  |  收藏  |  浏览/下载：899/12  |  提交时间：2014/07/07
黄河三角洲  滨海湿地  演变  土地利用  Yellow River Delta  Coastal Wetland  Evolution  Land Change  
Modeling of non-point source nitrogen pollution from 1979 to 2008 in Jiaodong Peninsula, China 期刊论文
HYDROLOGICAL PROCESSES, 2014, 卷号: 28, 期号: 8, 页码: 3264-3275
作者:  Hou, Xiyong;  Ying, Lanlan;  Chang, Yuanyong;  Qian, Song S.;  Zhang, Yong;  Hou, XY (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, ChunHui Rd 17, Yantai 264003, Shandong, Peoples R China. xyhou@yic.ac.cn
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Coastal Environment  Jiaodong Peninsula  Watershed  Land Use  Nitrogen  Non-point Source Pollution  
The responses of vegetation water content (EWT) and assessment of drought monitoring along a coastal region using remote sensing 期刊论文
GISCIENCE & REMOTE SENSING, 2014, 卷号: 51, 期号: 1, 页码: 1-16
作者:  Gao, Zhiqiang;  Wang, Qiuxian;  Cao, Xiaoming;  Gao, Wei;  Cao, XM (reprint author), Chinese Acad Forestry, Inst Desertificat Studies, Beijing 100101, Peoples R China. caoxm1027@gmail.com
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Responses  Land Surface Parameters  Remote Sensing  Equivalent Water Thickness (Ewt)  
The responses of vegetation water content (EWT) along a coastal region using remote sensing 会议论文
Remote Sensing and Modeling of Ecosystems for Sustainability XI, San Diego, CA, United states, August 18, 2014 - August 20, 2014
作者:  Gao, Zhiqiang(1,3);  Wang, Tingting(2);  Ning, Jicai(1);  Gao, Wei(3);  Gao, Zhiqiang
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Remote Sensing  Drought Monitoring  Equivalent Water Thickness  Land Surface Parameters  Remote Sensing Data  Responses  Surface Covering  Vegetation Water Content  Water Stress Indices